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ABSTRACT. I draw on a substantial body of theoretical and empirical research on big data-driven manufacturing, and to explore this, I inspected, used, and replicated survey data from Accenture, Capgemini, PwC, Software AG, and we.CONECT, performing analyses and making estimates regarding sensing, smart, and sustainable technologies. Structural equation modeling was used to analyze the data and test the proposed conceptual model.
JEL codes: E24; J21; J54; J64

Keywords: smart; sensor; sustainable; technology; big data; manufacturing

How to cite: Clarke, G. (2020). “Sensing, Smart, and Sustainable Technologies in Big Data-driven Manufacturing,” Journal of Self-Governance and Management Economics 8(3): 23–29. doi:10.22381/JSME8320203

Received 7 July 2020 • Received in revised form 6 September 2020
Accepted 7 September 2020 • Available online 9 September 2020

George Clarke
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Center for Cognitive Technology-driven
Automation at CLI, Ottawa, Canada

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